Abstract The utility of block copolymers (BCPs) in next-generation nanofabrication and optoelectronics is strictly governed by the long-range ordering and precise periodicity of their microphase-separated domains. However, navigating their multi-dimensional processing space to maximize this structural fidelity can be difficult. Conventional optimization relies on Edisonian trial-and-error, which is resource-intensive, slow, and often fails to identify the global optimum.
